langroid
Active·★ 4.0k·MIT·Updated 2026-05-28
★ Trending★ Essential
Harness LLMs with Multi-Agent Programming
Langroid is an intuitive, lightweight, and extensible Python framework developed by CMU and UW-Madison researchers for building LLM-powered applications. It simplifies developer experience by allowing users to set up Agents, equip them with LLMs, vector-stores, and tools, and have them collaboratively solve problems through message exchange, inspired by the Actor Framework.
#Python#Multi-Agent AI#LLM Framework#RAG#AI Tools#Coding
01
Features
01Multi-Agent orchestration framework for collaborative problem-solving.
02Flexible LLM integration, supporting virtually any LLM (local/remote, OpenAI-compatible APIs).
03Robust tool integration and function-calling for agents, including structured output and XML tools.
04Advanced RAG capabilities with DocChatAgent, chunk enrichment, and various document parsers.
05Support for multimodal inputs (PDF, image) and interactive task visualization with HTML Logger.
02
Compatibility
OpenAI
Native
Verified via docs
OpenAI Assistants API
Supported
Verified via docs
Ollama
Supported
Verified via docs
DeepSeek
Supported
Verified via docs
Gemini
Supported
Verified via docs
Azure OpenAI
Supported
Verified via docs
03
Quick start
1
$ pip install langroid
04
Use cases
↳Developing secure software by identifying, prioritizing, and fixing vulnerabilities.
↳Building multi-agent RAG systems, such as for pharmacovigilance in healthcare.
↳Extracting structured information from various documents using local or remote LLMs.
05
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